Brazilian Vegetarian Population—Influence of Type of Diet, Motivation and Sociodemographic Variables on Quality of Life Measured by Specific Tool (VEGQOL)
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Selection and Organization of the Study Instruments
2.3. Development of the Vegetarian Quality of Life Questionnaire (VEGQOL)
2.4. VEGQOL Validation
2.4.1. Content and Semantic Validation
2.4.2. Pilot Study
2.4.3. Questionnaire Validation
2.5. Questionnaire Application
2.6. Statistical Analysis
3. Results
3.1. Selection and Organization of the Study Instruments
3.1.1. Sociodemographic Data
3.1.2. Quality of Life Related to the Vegetarian Diet
3.1.3. General Quality of Life
3.2. VEGQOL Validation
3.2.1. Content and Semantic Validation
3.2.2. Pilot Study and Questionnaire Validation
3.3. Score Construction
3.4. Questionnaire Application (External Validation)
3.5. Score Cut-off Points Definition
3.6. VEGQOL Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Academy of Nutrition and Dietetics Position of the Academy of Nutrition and Dietetics: Vegetarian Diets. J. Acad. Nutr. Diet. 2016, 116, 1970–1980. [CrossRef] [PubMed]
- Slywitch, D.E. Alimentação sem Carne—Um Guia Prático Para Montar a Sua Dieta Vegetariana Com Saúde, 2nd ed.; Alaúde Editorial LTDA: Sao Paulo, Brazil, 2015. [Google Scholar]
- Amato, P.R.; Partridge, S.A. The Origins of Modern Vegetarianism. In The New Vegetarians: Promoting Health and Protectting Life; Springer: Sao Paulo, Brazil, 1989; pp. 1–29. [Google Scholar]
- Beig, B.B. A Prática Vegetariana Em Rio Claro: Corpo, Espiríto E Natureza. Master’s Thesis, Universidade Estadual Paulista, Sao Paulo, Brazil, 2008. [Google Scholar]
- Alsdorf, L. The History of Vegetarianism and Cow-veneration in India; Asdorf, L., Bollée, W., Eds.; Routledge: Weisbaden, Germany, 2010; Volume 28, ISBN 0203859596. [Google Scholar]
- da Costa Maynard, D.; Vidigal, M.D.; Farage, P.; Zandonadi, R.P.; Nakano, E.Y.; Botelho, R.B.A. Environmental, Social and Economic Sustainability Indicators Applied to Food Services: A Systematic Review. Sustainability 2020, 12, 1804. [Google Scholar] [CrossRef] [Green Version]
- Lynch, H.; Johnston, C.; Wharton, C. Plant-Based Diets: Considerations for Environmental Impact, Protein Quality, and Exercise Performance. Nutrients 2018, 10, 1841. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- De Souza, E.C.G.; Duarte, M.S.L.; da Conceição, L.L. Alimentação Vegetariana—Atualidades na Abordagem Nutricional, 1st ed.; Editora Rubio: Rio de Janeiro, Brazil, 2017. [Google Scholar]
- Statista Vegetarian Diet Followers Worldwide by Region. Available online: https://www.statista.com/statistics/597408/vegetarian-diet-followers-worldwide-by-region/ (accessed on 2 January 2019).
- Inteligência, I. 14% da População se Declara Vegetariana. Available online: http://www.ibopeinteligencia.com/noticias-e-pesquisas/14-da-populacao-se-declara-vegetariana/ (accessed on 10 July 2018).
- Slywitch, E. Guia Alimentar de Dietas Vegetarianas; Departamento de Medicina e Nutrição—Sociedade Vegetariana Brasileira: Sao Paulo, Brazil, 2012. [Google Scholar]
- Clarys, P.; Deliens, T.; Huybrechts, I.; Deriemaeker, P.; Vanaelst, B.; De Keyzer, W.; Hebbelinck, M.; Mullie, P. Comparison of nutritional quality of the vegan, vegetarian, semi-vegetarian, pesco-vegetarian and omnivorous diet. Nutrients 2014, 6, 1318–1332. [Google Scholar] [CrossRef]
- McEvoy, C.T.; Woodside, J.V. 2.9 Vegetarian diets. In Pediatric Nutrition in Practice; Koletzko, B., Bhatia, J., Bhutta, Z.A., Eds.; Karger: Basel, Switzerland, 2015; Volume 113, pp. 134–138. ISBN 978-3-318-02690-0. [Google Scholar]
- Ruby, M.B. Vegetarianism. A blossoming field of study. Appetite 2012, 58, 141–150. [Google Scholar] [CrossRef]
- Dinu, M.; Abbate, R.; Gensini, G.F.; Casini, A.; Sofi, F. Vegetarian, vegan diets and multiple health outcomes: A systematic review with meta-analysis of observational studies. Crit. Rev. Food Sci. Nutr. 2017, 57, 3640–3649. [Google Scholar] [CrossRef]
- Kwok, C.S.; Umar, S.; Myint, P.K.; Mamas, M.A.; Loke, Y.K. Vegetarian diet, Seventh Day Adventists and risk of cardiovascular mortality: A systematic review and meta-analysis. Int. J. Cardiol. 2014, 176, 680–686. [Google Scholar] [CrossRef]
- Mihrshahi, S.; Ding, D.; Gale, J.; Allman-Farinelli, M.; Banks, E.; Bauman, A.E. Vegetarian diet and all-cause mortality: Evidence from a large population-based. Prev. Med. 2017, 97, 1–7. [Google Scholar] [CrossRef]
- Carson, T.L.; Hidalgo, B.; Ard, J.D.; Affuso, O. Dietary Interventions and Quality of Life: A Systematic Review of the Literature. J. Nutr. Educ. Behav. 2014, 46, 90–101. [Google Scholar] [CrossRef] [Green Version]
- World Healthy Organization (WHO). WHO | The World Health Organization Quality of Life (WHOQOL); WHO: Geneva, Switzerland, 1995. [Google Scholar]
- Cazzorla, C.; Cegolon, L.; Burlina, A.P.; Celato, A.; Massa, P.; Giordano, L.; Polo, G.; Daniele, A.; Salvatore, F.; Burlina, A.B. Quality of Life (QoL) assessment in a cohort of patients with Phenylketonuria. BMC Public Health 2014, 14, 1243. [Google Scholar] [CrossRef] [Green Version]
- Lea, E.; Worsley, A. The cognitive contexts of beliefs about the healthiness of meat. Public Health Nutr. 2002, 5, 37–45. [Google Scholar] [CrossRef] [PubMed]
- Link, L.B.; Hussaini, N.S.; Jacobson, J.S. Change in quality of life and immune markers after a stay at a raw vegan institute: A pilot study. Complement. Ther. Med. 2008, 16, 124–130. [Google Scholar] [CrossRef] [Green Version]
- Agarwal, U.; Mishra, S.; Xu, J.; Levin, S.; Gonzales, J.; Barnard, N.D. A Multicenter Randomized Controlled Trial of a Nutrition Intervention Program in a Multiethnic Adult Population in the Corporate Setting Reduces Depression and Anxiety and Improves Quality of Life: The GEICO Study. Am. J. Health. Promot. 2015, 29, 245–254. [Google Scholar] [CrossRef] [PubMed]
- Kahleova, H.; Hrachovinova, T.; Hill, M.; Pelikanova, T. Vegetarian diet in type 2 diabetes—Improvement in quality of life, mood and eating behaviour. Diabet. Med. 2013, 30, 127–129. [Google Scholar] [CrossRef] [PubMed]
- Katcher, H.I.; Ferdowsian, H.R.; Hoover, V.J.; Cohen, J.L.; Barnard, N.D. A worksite vegan nutrition program is well-accepted and improves health-related quality of life and work productivity. Ann. Nutr. Metab. 2010, 56, 245–252. [Google Scholar] [CrossRef] [PubMed]
- Boldt, P.; Knechtle, B.; Nikolaidis, P.; Lechleitner, C.; Wirnitzer, G.; Leitzmann, C.; Rosemann, T.; Wirnitzer, K. Quality of life of female and male vegetarian and vegan endurance runners compared to omnivores—Results from the NURMI study (step 2). J. Int. Soc. Sports Nutr. 2018, 15, 15–33. [Google Scholar] [CrossRef] [Green Version]
- Whoqol Group. Development of the World Health Organization WHOQOL-BREF Quality of Life Assessment. Psychol. Med. 1998, 28, 551–558. [Google Scholar] [CrossRef] [Green Version]
- Delahanty, L.M.; Hayden, D.; Ammerman, A.; Nathan, D.M. Medical nutrition therapy for hypercholesterolemia positively affects patient satisfaction and quality of life outcomes. Ann. Behav. Med. 2002, 24, 269–278. [Google Scholar] [CrossRef]
- Bullinger, M.; Alonso, J.; Apolone, G.; Leplège, A.; Sullivan, M.; Wood-Dauphinee, S.; Gandek, B.; Wagner, A.; Aaronson, N.; Bech, P.; et al. Translating Health Status Questionnaires and Evaluating Their Quality. J. Clin. Epidemiol. 1998, 51, 913–923. [Google Scholar] [CrossRef]
- Farage, P.; Zandonadi, R.P.; Ginani, V.C.; Gandolfi, L.; Pratesi, R.; de Medeiros Nóbrega, Y.K.; Puppin Zandonadi, R.; Cortez Ginani, V.; Gandolfi, L.; Pratesi, R.; et al. Content validation and semantic evaluation of a check-list elaborated for the prevention of gluten cross-contamination in food services. Nutrients 2017, 9, 36. [Google Scholar] [CrossRef]
- da Silva Farias, A.; Akutsu, R.; Botelho, R.; Zandonadi, R. Good Practices in Home Kitchens: Construction and Validation of an Instrument for Household Food-Borne Disease Assessment and Prevention. Int. J. Environ. Res. Public Health 2019, 16, 1005. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- De Lima, T.C.; Jayme Gallani, M.C.B.; Isabel, M.; De Freitas, P. Content validation of an instrument to characterize people over 50 years of age living with Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome. ACTA Paul. Enferm. 2012, 25, 4–10. [Google Scholar] [CrossRef] [Green Version]
- Fitzpatrick, R.; Davey, C.; Buxton, M.; Jones, D. Evaluating patient-based outcome measures for use in clinical trials. Health Technol. Assess. 1998, 2, 14. [Google Scholar] [CrossRef] [Green Version]
- Fagerdahl, A.M.; Boström, L.; Ulfvarson, J.; Bergström, G.; Ottosson, C. Translation and validation of the wound-specific quality of life instrument Cardiff Wound Impact Schedule in a Swedish population. Scand. J. Caring Sci. 2014, 28, 398–404. [Google Scholar] [CrossRef] [PubMed]
- Ware, J.E.; Gandek, B. Methods for Testing Data Quality, Scaling Assumptions, and Reliability. J. Clin. Epidemiol. 1998, 51, 945–952. [Google Scholar] [CrossRef]
- Streiner, D.L.; Streiner, D.L. Starting at the Beginning: An Introduction to Coefficient Alpha and Internal Consistency. J. Personal. Assess. 2003, 80, 99–103. [Google Scholar] [CrossRef]
- Hair, J.F., Jr.; Black, W.C.; Babin, B.J.; Anderson, R.E.; Tatham, R.L. Análise Multivariada de Dados, 6th ed.; Bookman Companhia Editora Ltda: Sao Paulo, Brazil, 2009; ISBN 9788577805341. [Google Scholar]
- IBGE Pesquisa Nacional por Amostra de Domicílio Contínua (PNAD Contínua). Available online: https://www.ibge.gov.br/estatisticas-novoportal/sociais/educacao/17270-pnad-continua.html (accessed on 1 September 2018).
- WHO. WHO—World Health Organization: Mean Body Mass Index (BMI). Available online: http://www.who.int/gho/ncd/risk_factors/bmi_text/en/ (accessed on 11 April 2018).
- da Silva Coqueiro, R.; Borges, L.J.; Araújo, V.C.; Pelegrini, A.; Barbosa, A.R. Medidas auto-referidas são válidas para avaliação do estado nutricional na população brasileira? Rev. Bras. Cineantropom. Desempenho Hum. 2009, 11, 113–119. [Google Scholar] [CrossRef]
- Orlich, M.J.; Fraser, G.E. Vegetarian diets in the Adventist Health Study 2: A review of initial published findings. Am. J. Clin. Nutr. 2014, 100, 353S–358S. [Google Scholar] [CrossRef] [Green Version]
- Castilhos, A.C.; Gonçalves, B.C.; Macedo e Silva, M.; Lanoni, L.A.; Metzger, L.R.; Kotze, L.M.S.; Nishiara, R.M. Quality of Life Evaluation in Celiac Patients From Southern Brazil. Arq. Gastroenterol. 2015, 52, 171–175. [Google Scholar] [CrossRef] [Green Version]
- Pratesi, C.; Häuser, W.; Uenishi, R.; Selleski, N.; Nakano, E.; Gandolfi, L.; Pratesi, R.; Zandonadi, R. Quality of Life of Celiac Patients in Brazil: Questionnaire Translation, Cultural Adaptation and Validation. Nutrients 2018, 10, 1167. [Google Scholar] [CrossRef] [Green Version]
- MapaVeg Mapa Veg. Available online: https://www.mapaveg.com.br/ (accessed on 6 June 2018).
- Skevington, S.M.; Lotfy, M.; O’Connell, K.A. The World Health Organization’s WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A Report from the WHOQOL Group. Qual. Life Res. 2004, 13, 299–310. [Google Scholar] [CrossRef] [PubMed]
- Whoqol Group The World Health Organization Quality of Life Assessment (WHOQOL): Position paper from the World Health Organization. Soc. Sci. Med. 1995, 41, 1403–1409. [CrossRef]
- Brazier, J.E.; Harper, R.; Jones, N.; O’Cathain, A.; Thomas, K.J.; Usherwood, T.; Westlake, L. Validating the SF-36 health survey questionnaire: New outcome measure for primary care. Gen. Pract. 1992, 305, 160–164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ruano-Rodríguez, C.; Serra-Majem, L.; Dubois, D. Assessing the impact of dietary habits on health-related quality of life requires contextual measurement tools. Front. Pharmacol. 2015, 6, 105. [Google Scholar] [CrossRef] [Green Version]
- Hauser, W.; Gold, J.; Stallmach, A.; Caspary, W.F.; Stein, J. Development and Validation of the Celiac Disease Quality of Life Measure for Adult Patients With Celiac Disease. J. Clin. Gastroenterol. 2007, 41, 157–166. [Google Scholar] [CrossRef]
- DunnGalvin, A.; Barnett, J.; Begen, F.M.; Ryan, K.; Lucas, J.S. Development and preliminary validation of the food intolerance Quality of Life Questionnaire (FIQLQ): Adult Form. Qual. Life Res. 2018, 27, 1109–1116. [Google Scholar] [CrossRef]
- Okoli, C.; Pawlowski, S.D. The Delphi method as a research tool: An example, design considerations and applications. Inf. Manag. 2004, 42, 15–29. [Google Scholar] [CrossRef] [Green Version]
- Evaristo, O.S.; Moreira, C.; Lopes, L.; Abreu, S.; Agostinis-Sobrinho, C.; Oliveira-Santos, J.; Póvoas, S.; Oliveira, A.; Santos, R.; Mota, J. Associations between physical fitness and adherence to the Mediterranean diet with health-related quality of life in adolescents: Results from the LabMed Physical Activity Study. Eur. J. Public Health 2018, 28, 631–635. [Google Scholar] [CrossRef]
- Galilea-Zabalza, I.; Buil-Cosiales, P.; Salas-Salvadó, J.; Toledo, E.; Ortega-Azorín, C.; Díez-Espino, J.; Vázquez-Ruiz, Z.; Zomeño, M.D.; Vioque, J.; Martínez, J.A.; et al. Mediterranean diet and quality of life: Baseline cross-sectional analysis of the PREDIMED-PLUS trial. PLoS ONE 2018, 13, e0198974. [Google Scholar] [CrossRef] [Green Version]
- Granado-Casas, M.; Martin, M.; Martínez-Alonso, M.; Alcubierre, N.; Hernández, M.; Alonso, N.; Castelblanco, E.; Mauricio, D. The mediterranean diet is associated with an improved quality of life in adults with type 1 diabetes. Nutrients 2020, 12, 131. [Google Scholar] [CrossRef] [Green Version]
- Pérez-Tasigchana, R.F.; León-Muñoz, L.M.; López-García, E.; Banegas, J.R.; Rodríguez-Artalejo, F.; Guallar-Castillón, P. Mediterranean diet and health-related quality of life in two cohorts of community-dwelling older adults. PLoS ONE 2016, 11, e0151596. [Google Scholar] [CrossRef] [Green Version]
- Rosenfeld, D.L.; Tomiyama, A.J. When vegetarians eat meat: Why vegetarians violate their diets and how they feel about doing so. Appetite 2019, 143, 104417. [Google Scholar] [CrossRef] [PubMed]
- Lea, E.; Worsley, A. Benefits and barriers to the consumption of a vegetarian diet in Australia. Public Health Nutr. 2003, 6, 505–511. [Google Scholar] [CrossRef] [Green Version]
- Barratt, S.M.; Leeds, J.S.; Sanders, D.S. Quality of life in coeliac disease is determined by perceived degree of difficulty adhering to a gluten-free diet, not the level of dietary adherence ultimately achieved. J. Gastrointest. Liver Dis. 2011, 20, 241–245. [Google Scholar]
- Costa, I.; Gill, P.R.; Morda, R.; Ali, L. “More than a diet”: A qualitative investigation of young vegan Women’s relationship to food. Appetite 2019, 143, 104418. [Google Scholar] [CrossRef]
- Huang, R.Y.; Huang, C.C.; Hu, F.B.; Chavarro, J.E. Vegetarian Diets and Weight Reduction: A Meta-Analysis of Randomized Controlled Trials. J. Gen. Intern. Med. 2016, 31, 109–116. [Google Scholar] [CrossRef] [Green Version]
- Parker, H.W.; Vadiveloo, M.K. Diet quality of vegetarian diets compared with nonvegetarian diets: A systematic review. Nutr. Rev. 2019, 77, 144–160. [Google Scholar] [CrossRef]
- Schmitt, M.T.; Postmes, T.; Branscombe, N.R.; Garcia, A. The consequences of perceived discrimination for psychological well-being: A meta-analytic review. Psychol. Bull. 2014, 140, 921–948. [Google Scholar] [CrossRef]
- Rosenfeld, D.L.; Tomiyama, A.J. Taste and health concerns trump anticipated stigma as barriers to vegetarianism. Appetite 2019, 144, 104469. [Google Scholar] [CrossRef]
- SVB Segunda sem Carne. Available online: https://www.svb.org.br/pages/segundasemcarne/ (accessed on 4 April 2020).
- Siegrist, M.; Hartmann, C. Impact of sustainability perception on consumption of organic meat and meat substitutes. Appetite 2019, 132, 196–202. [Google Scholar] [CrossRef]
- SVB Mercado Vegetariano. Available online: https://www.svb.org.br/vegetarianismo1/mercado-vegetariano (accessed on 20 April 2020).
- Davidson, D.J.; Freudenburg, W.R. Gender and environmental risk concerns: A review and analysis of available research. Environ. Behav. 1996, 28, 302–339. [Google Scholar] [CrossRef]
- Davey, G.K.; Spencer, E.A.; Appleby, P.N.; Allen, N.E.; Knox, K.H.; Key, T.J. EPIC–Oxford:lifestyle characteristics and nutrient intakes in a cohort of 33 883 meat-eaters and 31 546 non meat-eaters in the UK. Public Health Nutr. 2003, 6, 259–268. [Google Scholar] [CrossRef] [PubMed]
- Gossard, M.H.; York, R. Social structural influences on meat consumption. Hum. Ecol. Rev. 2003, 10, 1–9. [Google Scholar] [CrossRef]
- Mullee, A.; Vermeire, L.; Vanaelst, B.; Mullie, P.; Deriemaeker, P.; Leenaert, T.; De Henauw, S.; Dunne, A.; Gunter, M.J.; Clarys, P.; et al. Vegetarianism and meat consumption: A comparison of attitudes and beliefs between vegetarian, semi-vegetarian, and omnivorous subjects in Belgium. Appetite 2017, 114, 299–305. [Google Scholar] [CrossRef] [PubMed]
- Chen, Y.; Sun, G.; Guo, X.; Chen, S.; Chang, Y.; Li, Y.; Sun, Y. Factors affecting the quality of life among Chinese rural general residents: A cross-sectional study. Public Health 2017, 146, 140–147. [Google Scholar] [CrossRef]
- Baines, S.; Powers, J.; Brown, W.J. How does the health and well-being of young Australian vegetarian and semi-vegetarian women compare with non-vegetarians? Public Health Nutr. 2007, 10, 436–442. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Itens do Questionário (Brazilian-Portuguese) | Questionnaire Items (English) |
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Agreements Measures | p-Value | |
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Item 5 | 0.625 1 | <0.001 |
Item 6 | 0.643 1 | <0.001 |
Item 7 | 0.482 1 | 0.001 |
Item 8 | 0.480 1 | 0.001 |
Item 11 | 0.083 1 | 0.567 |
Item 12 | 0.462 1 | <0.001 |
Item 13 | 0.097 1 | 0.328 |
Item 14 | 0.361 1 | 0.007 |
Item 15 | 0.362 1 | 0.008 |
Item 16 | 0.730 1 | <0.001 |
Item 17 | 0.455 1 | 0.001 |
Item 18 | 0.439 1 | 0.007 |
Item 19 | 0.567 1 | <0.001 |
Indice QV | 0.820 2 | <0.001 |
Characteristic | Category | Respondents (n = 5014) | |
---|---|---|---|
Number | Percentage | ||
Gender | Male | 1989 | 39.7% |
Female | 3025 | 60.3% | |
Age | 18–24 | 1412 | 28.2% |
25–29 | 845 | 16.9% | |
30–39 | 954 | 19.0% | |
40–49 | 1170 | 23.3% | |
50–59 | 515 | 10.3% | |
60 or more | 118 | 2.4% | |
Housing location | Capital or metropolitan area | 3377 | 67.4% |
Urban area (other cities) | 1496 | 29.8% | |
Rural area | 141 | 2.8% | |
Average income | Less than two minimum wages a | 796 | 15.9% |
Between two and five minimum wages | 1492 | 29.8% | |
Between five and ten minimum wages | 1344 | 26.8% | |
Between ten and twenty minimum wages | 794 | 15.8% | |
Above twenty minimum wages | 284 | 5.7% | |
Not informed | 304 | 6.1% | |
Educational level | No education | 0 | 0% |
Elementary School, incomplete | 4 | 0.1% | |
Elementary School, complete | 21 | 0.4% | |
High School, incomplete | 57 | 1.1% | |
High School, complete | 574 | 11.4% | |
University level, incomplete | 1295 | 25.8% | |
University level, complete | 3063 | 61.1% | |
BMI b | <18.5 kg/m2 | 271 | 5.4% |
18.5 to 24.9 kg/m2 | 3247 | 64.8% | |
>24.9 kg/m2 | 1445 | 28.8% | |
Not informed | 51 | 1.0% | |
Type of diet | Vegan | 1559 | 31.1% |
Vegetarian | 2391 | 47.7% | |
Pesco-vegetarian | 378 | 7.5% | |
Semi-vegetarian | 686 | 13.7% | |
Time adopting the diet | Less than 1 year | 1253 | 25.0% |
Between 1 and 5 years | 2182 | 43.5% | |
More than 5 years | 1579 | 31.5% | |
Main motivation | Ethic/moral | 3032 | 60.5% |
Personal health | 567 | 11.3% | |
Religion/beliefs | 242 | 4.8% | |
Environmental impact | 620 | 12.4% | |
Aversion/intolerance | 186 | 3.7% | |
Others | 367 | 7.3% | |
Close people also adopting the diet | Yes | 3685 | 73.5% |
No | 1329 | 26.5% |
Characteristic | Category | Low (<60) | Regular (60–70) | Satisfactory (70–80) | High (80–90) | Very high (>90) | VEGQOL Mean (SD) * | p |
---|---|---|---|---|---|---|---|---|
Gender | Male | 17.9% | 22.9% | 29.2% | 23.6% | 6.3% | 72.08 (12.48) A | <0.001 |
Female | 14.5% | 19.6% | 27.3% | 28.4% | 10.2% | 74.52 (12.43) B | ||
Age | 18–24 | 17.4% | 24.4% | 30.3% | 23.2% | 4.7% | 71.67 (12.00) A | |
25–29 | 15.1% | 22.5% | 30.2% | 25.8% | 6.4% | 72.99 (12.14) A | <0.001 | |
30–39 | 16.6% | 16.6% | 27.3% | 29.1% | 10.5% | 74.47 (12.79) B | ||
40 or more | 14.5% | 19.9% | 25.7% | 28.1% | 11.9% | 74.82 (12.72) B | ||
Type of diet | Vegan | 5.9% | 12.7% | 27.6% | 37.8% | 16.0% | 79.21 (10.66) A | |
Vegetarian | 14.3% | 23.6% | 30.7% | 25.0% | 6.4% | 73.13 (11.58) B | <0.001 | |
Pesco-vegetarian | 23.5% | 27.0% | 26.7% | 17.2% | 5.6% | 69.55 (12.50) C | ||
Semi-vegetarian | 39.7% | 27.0% | 20.6% | 11.2% | 1.6% | 64.38 (12.84) D | ||
Time adopting the diet | Less than 1 year | 21.9% | 24.5% | 29.9% | 19.2% | 4.5% | 70.21 (12.32) A | |
Between 1 and 5 years | 14.6% | 21.2% | 28.6% | 27.7% | 7.9% | 73.84 (12.05) B | <0.001 | |
More than 5 years | 12.7% | 17.8% | 25.7% | 30.7% | 13.1% | 75.82 (12.71) C | ||
Main motivation | Ethic/moral | 13.5% | 19.6% | 28.1% | 28.3% | 10.5% | 74.73 (12.21) A | |
Personal health | 16.8% | 22.4% | 28.0% | 25.2% | 7.6% | 73.05 (12.11) AB | ||
Religion/beliefs | 20.7% | 24.4% | 24.0% | 24.8% | 6.2% | 71.73 (12.66) BC | <0.001 | |
Environmental impact | 17.1% | 24.7% | 29.7% | 23.9% | 4.7% | 72.06 (11.98) BC | ||
Aversion/intolerance | 23.7% | 22.0% | 29.6% | 19.9% | 4.8% | 69.57 (14.26) C | ||
Others | 24.8% | 20.4% | 26.4% | 22.6% | 5.7% | 70.34 (13.88) C | ||
Close people also adopting the diet | Yes | 14.3% | 19.5% | 28.0% | 28.7% | 9.6% | 74.57 (12.21) A | <0.001 |
No | 20.2% | 25.0% | 28.2% | 20.5% | 6.2% | 70.75 (12.89) B |
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Hargreaves, S.M.; Nakano, E.Y.; Zandonadi, R.P. Brazilian Vegetarian Population—Influence of Type of Diet, Motivation and Sociodemographic Variables on Quality of Life Measured by Specific Tool (VEGQOL). Nutrients 2020, 12, 1406. https://doi.org/10.3390/nu12051406
Hargreaves SM, Nakano EY, Zandonadi RP. Brazilian Vegetarian Population—Influence of Type of Diet, Motivation and Sociodemographic Variables on Quality of Life Measured by Specific Tool (VEGQOL). Nutrients. 2020; 12(5):1406. https://doi.org/10.3390/nu12051406
Chicago/Turabian StyleHargreaves, Shila Minari, Eduardo Yoshio Nakano, and Renata Puppin Zandonadi. 2020. "Brazilian Vegetarian Population—Influence of Type of Diet, Motivation and Sociodemographic Variables on Quality of Life Measured by Specific Tool (VEGQOL)" Nutrients 12, no. 5: 1406. https://doi.org/10.3390/nu12051406
APA StyleHargreaves, S. M., Nakano, E. Y., & Zandonadi, R. P. (2020). Brazilian Vegetarian Population—Influence of Type of Diet, Motivation and Sociodemographic Variables on Quality of Life Measured by Specific Tool (VEGQOL). Nutrients, 12(5), 1406. https://doi.org/10.3390/nu12051406